Surge Energy Stock Market Value
| SGY Stock | CAD 5.54 0.09 1.65% |
| Symbol | Surge |
Surge Energy Price To Book Ratio
Surge Energy 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Surge Energy's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Surge Energy.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Surge Energy on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Surge Energy or generate 0.0% return on investment in Surge Energy over 90 days. Surge Energy is related to or competes with Whitecap Resources, Cardinal Energy, Athabasca Oil, Tamarack Valley, and Birchcliff Energy. Surge Energy Inc. explores for, develops, and produces oil and gas in western Canada More
Surge Energy Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Surge Energy's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Surge Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.49 | |||
| Information Ratio | 0.0892 | |||
| Maximum Drawdown | 10.7 | |||
| Value At Risk | (3.58) | |||
| Potential Upside | 3.77 |
Surge Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Surge Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Surge Energy's standard deviation. In reality, there are many statistical measures that can use Surge Energy historical prices to predict the future Surge Energy's volatility.| Risk Adjusted Performance | 0.0483 | |||
| Jensen Alpha | 0.1785 | |||
| Total Risk Alpha | 0.4075 | |||
| Sortino Ratio | 0.0861 | |||
| Treynor Ratio | 0.1589 |
Surge Energy Backtested Returns
As of now, Surge Stock is somewhat reliable. Surge Energy owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0477, which indicates the firm had a 0.0477 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Surge Energy, which you can use to evaluate the volatility of the company. Please validate Surge Energy's Risk Adjusted Performance of 0.0483, coefficient of variation of 2079.09, and Semi Deviation of 2.31 to confirm if the risk estimate we provide is consistent with the expected return of 0.12%. Surge Energy has a performance score of 3 on a scale of 0 to 100. The entity has a beta of 0.67, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Surge Energy's returns are expected to increase less than the market. However, during the bear market, the loss of holding Surge Energy is expected to be smaller as well. Surge Energy right now has a risk of 2.42%. Please validate Surge Energy expected short fall, and the relationship between the value at risk and daily balance of power , to decide if Surge Energy will be following its existing price patterns.
Auto-correlation | 0.08 |
Virtually no predictability
Surge Energy has virtually no predictability. Overlapping area represents the amount of predictability between Surge Energy time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Surge Energy price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Surge Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.08 | |
| Spearman Rank Test | -0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Surge Energy lagged returns against current returns
Autocorrelation, which is Surge Energy stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Surge Energy's stock expected returns. We can calculate the autocorrelation of Surge Energy returns to help us make a trade decision. For example, suppose you find that Surge Energy has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Surge Energy regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Surge Energy stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Surge Energy stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Surge Energy stock over time.
Current vs Lagged Prices |
| Timeline |
Surge Energy Lagged Returns
When evaluating Surge Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Surge Energy stock have on its future price. Surge Energy autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Surge Energy autocorrelation shows the relationship between Surge Energy stock current value and its past values and can show if there is a momentum factor associated with investing in Surge Energy.
Regressed Prices |
| Timeline |
Pair Trading with Surge Energy
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Surge Energy position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Surge Energy will appreciate offsetting losses from the drop in the long position's value.Moving together with Surge Stock
Moving against Surge Stock
| 0.64 | NKE | NIKE Inc CDR Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to Surge Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Surge Energy when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Surge Energy - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Surge Energy to buy it.
The correlation of Surge Energy is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Surge Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Surge Energy moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Surge Energy can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Surge Stock
Surge Energy financial ratios help investors to determine whether Surge Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Surge with respect to the benefits of owning Surge Energy security.